NumPy (Numerical Python) is a powerful Python library used for numerical and scientific computing.
It provides support for:
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large multi-dimensional arrays
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mathematical operations on arrays
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high-performance computations
NumPy is the foundation library for data science, machine learning, and scientific computing in Python.
Why do we need Numpy ?
Python’s built-in data structures like lists are flexible, but they are:
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slower for numerical operations
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memory inefficient
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not optimized for mathematical computations
NumPy solves these problems by providing optimized array operations written in C, making it much faster.
Key Features of Numpy :
- Fast execution
- Multi-dimensional array object (ndarray)
- Vectorized operations
- Mathematical & statistical functions
- Broadcasting support
- Memory efficient
Installing Numpy :
Bash/Shell
pip install numpy Importing Numpy :
Python
import numpy as np